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01-09-2019 | Diabetic Retinopathy | Microvascular Complications—Retinopathy (DL Chao and G Yiu, Section Editors)

Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application

Authors: Valentina Bellemo, Gilbert Lim, Tyler Hyungtaek Rim, Gavin S. W. Tan, Carol Y. Cheung, SriniVas Sadda, Ming-guang He, Adnan Tufail, Mong Li Lee, Wynne Hsu, Daniel Shu Wei Ting

Published in: Current Diabetes Reports | Issue 9/2019

Abstract

Purpose of Review

This paper systematically reviews the recent progress in diabetic retinopathy screening. It provides an integrated overview of the current state of knowledge of emerging techniques using artificial intelligence integration in national screening programs around the world. Existing methodological approaches and research insights are evaluated. An understanding of existing gaps and future directions is created.

Recent Findings

Over the past decades, artificial intelligence has emerged into the scientific consciousness with breakthroughs that are sparking increasing interest among computer science and medical communities. Specifically, machine learning and deep learning (a subtype of machine learning) applications of artificial intelligence are spreading into areas that previously were thought to be only the purview of humans, and a number of applications in ophthalmology field have been explored. Multiple studies all around the world have demonstrated that such systems can behave on par with clinical experts with robust diagnostic performance in diabetic retinopathy diagnosis. However, only few tools have been evaluated in clinical prospective studies.

Summary

Given the rapid and impressive progress of artificial intelligence technologies, the implementation of deep learning systems into routinely practiced diabetic retinopathy screening could represent a cost-effective alternative to help reduce the incidence of preventable blindness around the world.

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Title: Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application
Authors: Valentina Bellemo
Gilbert Lim
Tyler Hyungtaek Rim
Gavin S. W. Tan
Carol Y. Cheung
SriniVas Sadda
Ming-guang He
Adnan Tufail
Mong Li Lee
Wynne Hsu
Daniel Shu Wei Ting
Publication date: 01-09-2019
Publisher: Springer US
Keywords: Diabetic Retinopathy
Artificial Intelligence
Diabetic Retinopathy
Published in: Current Diabetes Reports / Issue 9/2019
Print ISSN: 1534-4827
Electronic ISSN: 1539-0829
DOI: https://doi.org/10.1007/s11892-019-1189-3

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